
'''simple docstring'''





import os
from tempfile import TemporaryDirectory
from unittest import TestCase

import pytest
from absl.testing import parameterized

from datasets import config
from datasets.arrow_reader import HF_GCP_BASE_URL
from datasets.builder import DatasetBuilder
from datasets.dataset_dict import IterableDatasetDict
from datasets.iterable_dataset import IterableDataset
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.file_utils import cached_path


SCREAMING_SNAKE_CASE     =       [
    {"""dataset""": """wikipedia""", """config_name""": """20220301.de"""},
    {"""dataset""": """wikipedia""", """config_name""": """20220301.en"""},
    {"""dataset""": """wikipedia""", """config_name""": """20220301.fr"""},
    {"""dataset""": """wikipedia""", """config_name""": """20220301.frr"""},
    {"""dataset""": """wikipedia""", """config_name""": """20220301.it"""},
    {"""dataset""": """wikipedia""", """config_name""": """20220301.simple"""},
    {"""dataset""": """snli""", """config_name""": """plain_text"""},
    {"""dataset""": """eli5""", """config_name""": """LFQA_reddit"""},
    {"""dataset""": """wiki40b""", """config_name""": """en"""},
    {"""dataset""": """wiki_dpr""", """config_name""": """psgs_w100.nq.compressed"""},
    {"""dataset""": """wiki_dpr""", """config_name""": """psgs_w100.nq.no_index"""},
    {"""dataset""": """wiki_dpr""", """config_name""": """psgs_w100.multiset.no_index"""},
    {"""dataset""": """natural_questions""", """config_name""": """default"""},
]







def snake_case_     (					lowercase__=True		):
  if with_config:
    return [
        {
            "testcase_name": d["dataset"] + "/" + d["config_name"],
            "dataset": d["dataset"],
            "config_name": d["config_name"],
        }
        for d in DATASETS_ON_HF_GCP
    ]
  else:
    return [
        {"testcase_name": dataset, "dataset": dataset} for dataset in {d["dataset"] for d in DATASETS_ON_HF_GCP}
    ]






@parameterized.named_parameters(list_datasets_on_hf_gcp_parameters(with_config=SCREAMING_SNAKE_CASE_				)				)
class 							UpperCAmelCase_							(    SCREAMING_SNAKE_CASE_				):

 '''simple docstring'''
 lowercase_					:    Union[str, Any]				=							None
 lowercase_					:    Tuple				=							None







 def 							UpperCamelCase  (					self		:  Optional[Any]			,				snake_case__		:  Tuple			,				snake_case__		:  List[Any] ):



   '''simple docstring'''




   with TemporaryDirectory() as tmp_dir:
     UpperCAmelCase__      :					Any				       =							dataset_module_factory(snake_case__			,				cache_dir=snake_case__ )

     UpperCAmelCase__      :					Union[str, Any]				       =							import_main_class(dataset_module.module_path			,				dataset=snake_case__ )

     UpperCAmelCase__      :					str				       =							builder_cls(
         cache_dir=snake_case__			,				config_name=snake_case__			,				hash=dataset_module.hash			,				)

     UpperCAmelCase__      :					Optional[int]				       =							"/".join(
         [
             HF_GCP_BASE_URL,
             builder_instance._relative_data_dir(with_hash=snake_case__ ).replace(os.sep			,				"/" ),
             config.DATASET_INFO_FILENAME,
         ] )
     UpperCAmelCase__      :					List[str]				       =							cached_path(snake_case__			,				cache_dir=snake_case__ )
     self.assertTrue(os.path.exists(snake_case__ ) )







@pytest.mark.integration
def snake_case_     (					lowercase__		):
  UpperCAmelCase__      :					Union[str, Any]				       =							tmp_path_factory.mktemp("test_hf_gcp"		) / "test_wikipedia_simple"
  UpperCAmelCase__      :					Tuple				       =							dataset_module_factory("wikipedia"   ,       cache_dir=lowercase__		)
  UpperCAmelCase__      :					Tuple				       =							import_main_class(dataset_module.module_path		)
  UpperCAmelCase__      :					Any				       =							builder_cls(
      cache_dir=lowercase__   ,       config_name="20220301.frr"   ,       hash=dataset_module.hash   ,       )
  # use the HF cloud storage, not the original download_and_prepare that uses apache-beam
  UpperCAmelCase__      :					Optional[Any]				       =							None
  builder_instance.download_and_prepare()
  UpperCAmelCase__      :					str				       =							builder_instance.as_dataset()
  assert ds







@pytest.mark.integration
def snake_case_     (					lowercase__		):
  UpperCAmelCase__      :					Dict				       =							dataset_module_factory("wikipedia"   ,       cache_dir=lowercase__		)
  UpperCAmelCase__      :					Tuple				       =							import_main_class(dataset_module.module_path   ,       dataset=lowercase__		)
  UpperCAmelCase__      :					Union[str, Any]				       =							builder_cls(
      cache_dir=lowercase__   ,       config_name="20220301.frr"   ,       hash=dataset_module.hash   ,       )
  UpperCAmelCase__      :					int				       =							builder_instance.as_streaming_dataset()
  assert ds
  assert isinstance(lowercase__   ,       lowercase__		)
  assert "train" in ds
  assert isinstance(ds["train"]   ,       lowercase__		)
  assert next(iter(ds["train"]		)		)




import functools
from typing import Any


def 	lowerCamelCase					(	UpperCamelCase     :				str			,       UpperCamelCase     :				list[str]							)   ->    bool:

		# Validation
		if not isinstance(UpperCamelCase			,       UpperCamelCase							) or len(UpperCamelCase							) == 0:
				raise ValueError('the string should be not empty string'							)

		if not isinstance(UpperCamelCase			,       UpperCamelCase							) or not all(
		    isinstance(UpperCamelCase			,       UpperCamelCase							) and len(UpperCamelCase							) > 0 for item in words							):
				raise ValueError('the words should be a list of non-empty strings'							)

		# Build trie
		_lowerCamelCase				   =  {}
		_lowerCamelCase				   =  'WORD_KEEPER'

		for word in words:
				_lowerCamelCase				   =  trie
				for c in word:
						if c not in trie_node:
								_lowerCamelCase				   =  {}

						_lowerCamelCase				   =  trie_node[c]

				_lowerCamelCase				   =  True

		_lowerCamelCase				   =  len(UpperCamelCase							)

		# Dynamic programming method
		@functools.cache
		def is_breakable(UpperCamelCase     :				int							) -> bool:
				if index == len_string:
						return True

				_lowerCamelCase				   =  trie
				for i in range(UpperCamelCase			,       UpperCamelCase							):
						_lowerCamelCase				   =  trie_node.get(string[i]			,       UpperCamelCase							)

						if trie_node is None:
								return False

						if trie_node.get(UpperCamelCase			,       UpperCamelCase							) and is_breakable(i + 1							):
								return True

				return False

		return is_breakable(0							)


if __name__ == "__main__":
				import doctest

				doctest.testmod()